TY  - JOUR
PY  - 2017//
TI  - Incident detection methods using probe vehicles with on-board GPS equipment
JO  - Transportation research part C: emerging technologies
A1  - Asakura, Yasuo
A1  - Kusakabe, Takahiko
A1  - Nguyen, Long Xuan
A1  - Ushiki, Takamasa
SP  - 330
EP  - 341
VL  - 81
IS  - 
N2  - Mobile communication instruments have made detecting traffic incidents possible by using floating traffic data. This paper studies the properties of traffic flow dynamics during incidents and proposes incident detection methods using floating data collected by probe vehicles equipped with on-board global positioning system (GPS) equipment. The proposed algorithms predict the time and location of traffic congestion caused by an incident. The detection rate and false rate of the models are examined using a traffic flow simulator, and the performance measures of the proposed methods are compared with those of previous methods.<p />  <p>Language: en</p>
LA  - en
SN  - 0968-090X
UR  - http://dx.doi.org/10.1016/j.trc.2016.11.023
ID  - ref1
ER  -